The Ubiquitous Web Applications Working Group
seeks to simplify the creation of distributed Web applications
involving a wide diversity of devices, including desktop computers,
office equipment, home media appliances, mobile devices (phones),
physical sensors and effectors (including RFID and barcodes).
This will be achieved by building upon existing work on device
independent authoring and delivery contexts by the former DIWG, together with
new work on remote eventing, device coordination and intent-based
events.
M. Atzmueller, J. Mueller, and M. Becker. Mining, Modeling, and Recommending 'Things' in Social Media, page 1--20. Cham, Springer International Publishing, (2015)
M. Atzmueller. Proc. Annual Machine Learning Conference of the Benelux (Benelearn 2017), Eindhoven, The Netherlands, Eindhoven University of Technology, (2017)
M. Atzmueller, L. Thiele, G. Stumme, and S. Kauffeld. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
M. Atzmueller, B. Fries, and N. Hayat. Proc. ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, New York, NY, USA, ACM Press, (2016)
M. Atzmueller. Solving Large Scale Learning Tasks: Challenges and Algorithms. Festschrift in Honour of Prof. Dr. Katharina Morik, volume 9580 of LNCS, Springer Verlag, (2016)
M. Atzmueller, J. Mueller, and M. Becker. Mining, Modeling and Recommending 'Things' in Social Media, volume 8940 of LNAI, Springer Verlag, Heidelberg, Germany, (2015)
M. Atzmueller, S. Bobek, M. Kibanov, and G. Nalepa. Proceedings of the 2014 International Smart University Workshop (SmartU 2014), London, UK, London, UK, (2014)
M. Atzmueller. Proc. ECML/PKDD 2014: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, volume 8726 of LNCS, page 485--488. Heidelberg, Germany, Springer Verlag, (2014)